In [1]:
from pathlib import Path
from ipyniivue import download_dataset
BASE_API_URL = "https://niivue.com/demos/images/"
DATA_FOLDER = Path("images")
# Download data for example
download_dataset(
BASE_API_URL,
DATA_FOLDER,
files=[
"mni152.nii.gz",
"hippo.nii.gz",
],
)
mni152.nii.gz already exists. hippo.nii.gz already exists. Dataset downloaded successfully to images.
In [2]:
from ipywidgets import Output
from ipyniivue import NiiVue, SliceType
out = Output()
display(out)
nv = NiiVue(slice_type=SliceType.MULTIPLANAR)
@nv.on_image_loaded
def on_image_loaded(volume):
"""
Event handler called when an image is loaded.
Parameters
----------
volume : ipyniivue.Volume
The loaded image volume.
"""
with out:
print("Image loaded:", volume.id, volume.name, volume.colormap)
# Load volumes
nv.load_volumes(
[
{
"path": DATA_FOLDER / "mni152.nii.gz",
"colormap": "gray",
"opacity": 1.0,
},
{
"path": DATA_FOLDER / "hippo.nii.gz",
"colormap": "red",
"opacity": 1.0,
},
]
)
nv.add_volume(
{
"path": DATA_FOLDER / "mni152.nii.gz",
"colormap": "gray",
"opacity": 1.0,
}
)
display(nv)